Journal of Electroanalytical Chemistry Pre-proofs

REVIEW: Preliminary Survey on Cold Fusion: It’s Not Pathological Science and May Require Revision of Nuclear Theory

Quote from Ahlfors

Journal of Electroanalytical Chemistry Pre-proofs

REVIEW: Preliminary Survey on Cold Fusion: It’s Not Pathological Science and May Require Revision of Nuclear Theory

"Despite the appearance of products using knowledge obtained within cold fusion research^ of Palladium-Deuterium and Titanium-Deuterium systems, they are vanishing trends in ridd fusion”cold fusion field. Other types of experiments have a growing trend, particularly the Nickel- Hydrogen systems, which suggests the field is not pathological science. Apparently, the initial explanations for the excess heat phenomenon (chemical induction-inducement of nuclear reactions without neutrons) were flawed, but many research groups replicated cold fusion experimental results. Figure 12 presents the graphical abstract of this work.

The Aauthors did not find a universally accepted model for the phenomena. However, if experimental results are real, in-facty-current nuclear theory will requires revision. Further, even without a theory, people may use the observed phenomena to make disruptive technologies by trial- and-error methods.

This work suggests to the reader two questions: first, whether the golden dream of the fusion is approaching our time; second, whether this is a dream or a nightmare. In case cold fusion becomes a reality, perhaps the answer to the second depends on the time of-that technology development starts." Here is a Conclusion ... I want to support ... The model of the nucleus and the models of atoms are not consistent ... Why? But because these models assume the presence of an "electric charge" on the proton and the electron, and none of this existed in nature and is not present - it was Maxwell's invention.

Preliminary Survey on Cold Fusion – https://cloud.mail.ru/public/c8cW/Tim7MTVtW

Preliminary Survey on Cold Fusion – https://docs.google.com/docume…euPgidDf/edit?usp=sharing

JedRothwell

Curtis Berlinguette is keeping a running index of their publications:

Project Charleston publication list – Curtis P. Berlinguette Research Group

Quote from Ahlfors

Library Genesis • scientific articles

Ah. This is how you can download a copy of the paper. This link shows the "Sci-Hub" site where a copy of the paper is located. I have heard there are sites like this engaged in massive copyright violations. I guess they are overseas? They must be driving Nature and the other publishers nuts.

Quote from JedRothwell

Ah. This is how you can download a copy of the paper. This link shows the "Sci-Hub" site where a copy of the paper is located. I have heard there are sites like this engaged in massive copyright violations. I guess they are overseas? They must be driving Nature and the other publishers nuts.

Meet the pirate queen making academic papers free online

Alexandra Elbakyan runs Sci-Hub, a website with over 64 million academic papers available for free to anybody in the world.

www.theverge.com

Quote from Ahlfors

Journal of Electroanalytical Chemistry Pre-proofs

REVIEW: Preliminary Survey on Cold Fusion: It’s Not Pathological Science and May Require Revision of Nuclear Theory

It will be interesting to read!

https://www.worldscientific.com/worldscibooks/10.1142/q0333

Professor Jeremy Munday update...

Lead inventor listed on the Google Inc. LENR patents. He has been working under a defense research contract since the patents publication. I wondered if Google participates/contributes at UC Davis and Munday Labs

Professor Jeremy Munday Receives DARPA Director’s Fellowship Award

Professor Jeremy Munday has received the 2020 DARPA Director's Fellowship Award. This award is given to faculty early in their careers such that they may develop their research ideas in the context of national security needs, and is only given to top performers of the already very selective DARPA Young Faculty Award recipients. In 2018, Professor Munday received one of twenty-five DARPA Young Faculty Awards. With this award, he initiated experimental investigation of the Casimir forces, which is a quantum effect with promising applications in future technologies. The results of this research were judged so promising by DARPA in future technologies, that he has now received the 2020 DARPA Director's Fellowship Award.

Dr. Munday's research themes range from quantum electromechanical phenomena (such as the Casimir effect), to fundamental solar energy conversion processes with an emphasis on the optics, photonics, and thermodynamics of such systems.

Specifically, the Munday Group studies novel photonic, plasmonic, and quantum materials and seeks

breakthrough energy generation

and extraction technologies. This work merges physics and engineering to accomplish these goals.

Please join us in congratulating, Professor Munday, and click the link to view the video presentation of Professor Munday’s award.

Technology Forecast: Worldwide Research on Low-Energy Nuclear Reactions Increasing and Gaining Acceptance, 13 November 2009

"The original request asked for, “… all reports from the DIA Defense Warning Office (DWO) since 1989 concerning Low Energy Nuclear Reactions or LENR or Cold Fusion.”

The result yielded four documents, totaling 34 pages. However, three of those documents were withheld in full, which totaled 26 pages. That meant, only 8 were released, in part."

Technology Forecast: Worldwide Research on Low-Energy Nuclear Reactions Increasing and Gaining Acceptance, 13 November 2009 - The Black Vault

Scientists worldwide have been quietly investigating low-energy nuclear reactions (LENR) for the past 20 years. Researchers in this controversial field are now…

www.theblackvault.com

2009

Ahlfors Yes 2009...

2021 with both DTRA published reports.

This article is surprisingly in-depth...

From the 'WarZone' blog... on 'The Drive'

Navy Labs To Reopen The Once Taboo Case On Nuclear Cold Fusion

BY BRETT TINGLEY APRIL 9, 2021

Navy Labs To Reopen The Once Taboo Case On Nuclear Cold Fusion

Federal labs are reexamining the DOD’s research into cold fusion and low-energy nuclear reactions, potentially leading to revolutionary technologies.

www.thedrive.com

Federal labs are reexamining the DOD’s research into cold fusion and low-energy nuclear reactions, potentially leading to revolutionary technologies

Quote from teppo

Technology Forecast: Worldwide Research on Low-Energy Nuclear Reactions Increasing and Gaining Acceptance, 13 November 2009

This is here:

https://www.lenr-canr.org/acrobat/BarnhartBtechnology.pdf

Published: 24 May 2021

"Plasma-driven Solution Electrolysis"

Journal of Applied Physics 129, 200902 (2021); https://doi.org/10.1063/5.0...

ABSTRACT

Plasmas interacting with liquids enable the generation of a highly reactive interfacial liquid layer due to a variety of processes driven by plasma-produced electrons, ions, photons, and radicals. These processes show promise to enable selective, efficient, and green chemical transformations and new material synthesis approaches. While many differences are to be expected between conventional electrolysis and plasma–liquid interactions, plasma–liquid interactions can be viewed, to a first approximation, as replacing a metal electrode in an electrolytic cell with a gas phase plasma. For this reason, we refer to this method as plasma-driven solution electrochemistry (PDSE). In this Perspective, we address two fundamental questions that should be answered to enable researchers to make transformational advances in PDSE: How far from equilibrium can plasma-induced solution processes be driven? and What are the fundamental differences between PDSE and other more traditional electrochemical processes? Different aspects of both questions are discussed in five sub-questions for which we review the current state-of-the art and we provide a motivation and research vision.

Experiment finds evidence for a long-sought particle comprising four neutrons

While all atomic nuclei except hydrogen are composed of protons and neutrons, physicists have been searching for a particle consisting of two, three or four…

phys.org

Experiment finds evidence for a long-sought particle comprising four neutrons

by Technical University Munich Dr. Roman Gernhäuser at the target chamber. The tetra-neutron particles were created in the center of this chamber. The reaction was detected using an extremely sensitive magnetic spectrograph. Credit: Uli Benz / Tum

While all atomic nuclei except hydrogen are composed of protons and neutrons, physicists have been searching for a particle consisting of two, three or four neutrons for over half a century. Experiments by a team of physicists of the Technical University of Munich (TUM) at the accelerator laboratory on the Garching research campus now indicate that a particle comprising four bound neutrons may well exist.

While nuclear physicists agree that there are no systems in the universe made of only protons, they have been searching for particles comprising two, three or four neutrons for more than 50 years.

Should such a particle exist, parts of the theory of the strong interaction would need to be rethought. In addition, studying these particles in more detail could help us better understand the properties of neutron stars.

Thanks to SindreZG for spotting this.

Nornickel announces Palladium Challenge contest in partnership with IPMI - Nornickel

Moscow, October 18, 2021 — Nornickel, the world’s largest producer of palladium and high-grade nickel and a major producer of platinum…

www.nornickel.com

The Palladium Challenge is an initiative intended to inspire individuals, businesses and academic institutions to invent and design a sustainable use-case that features and increases the demand for palladium. The metal is known for its catalytic capabilities and unique physical properties, and while it is widely used in the automotive industry as an essential component of catalytic conversion, the Palladium Challenge seeks to broaden its applications and spark innovation.

Anton Berlin, Nornickel Vice President, Sales and Distribution commented: “As the world’s largest palladium producer, Nornickel plays a central role in development and driving demand for this metal. Moreover, as a company, we believe that palladium has huge potential beyond autocatalysts. We see high palladium demand in other global industries, including the green economy and decarbonisation. There are many other areas where palladium could fulfil a critical function, and we are very excited to announce the launch of the challenge, which seeks to bring together scientists from all over the world. We encourage scientists, inventors, and entrepreneurs worldwide to participate. We hope that this challenge will deliver outstanding research results.”

The Palladium Challenge will be judged by an independent panel of global experts who will review all submissions. The top three projects will receive global recognition and will be awarded monetary prizes on September 16, 2022 at the IPMI Annual Platinum Dinner in New York City.

The prizes will be as follows:

• 1st Place: USD 200,000
• 2nd Place: USD 100,000
• 3rd Place: USD 50,000

Registrations are now open on the IPMI website. Completed proposals must be submitted no later than May 31, 2022. All entries are subject to the Official Rules of the Palladium Challenge.

Dowload full version in pdf

The demand for palladium is decreasing due to the electrification of cars. This might be why palladium traders want new businesses. As for palladium in LENR: it is much more viable to go for Nickel-Hydrogen than for Palladium-Deuterium.

New preprint from Wyttenbach and Russ George:

A new experimental path to mucleosynthesis.

(PDF) A new, experimental path to nucleosynthesis

PDF | A gamma spectrum is the ultimate proof of a nuclear - cold fusion - reaction. For this paper about 10 spectra with a very high signal:noise ratio... |…

www.researchgate.net

As correctly suggested by Rob Woudenberg , please continue the discussion of this work here:

Thread

The church of SM physics

This was the link where @stefan posted a solution that shows that QED is incomplete.

https://physics.stackexchange.…s-argument-link-em-and-qm

That is what you get today:

lenr-forum.com/attachment/10037/

Wyttenbach

Oct 12th 2019

Quote

As Seaver says, "It’s been called the smartest square mile on earth."

- end quote

The significance of the DoE Google Inc. LLNL CMNS energy technology patent development lead inventor being the head of the LLNL fusion program is worth noting. This article lends insight.

"Lawrence Livermore National Lab: The Smartest Square Mile on Earth"

https://www.diablomag.com/people-style/people/lawrence-livermore-national-lab-the-smartest-square-mile-on-earth/article_b7114244-4311-59a0-8443-e885754849ee.html

By Brooke Walsh

Photography by Christie Hemm

Klok Mar 22, 2019 Updated May 8, 2020

The world-famous Lawrence Livermore National Laboratory ensures that our country's nuclear weapons are safe and sound.

It also makes high-tech discoveries at breakneck speed.

Diablo takes a behind-the-scenes look at the powerhouse right in our backyard.

Superionic ice may be the most common form of ice in the universe. Breakthrough research from LLNL.

LLNL scientists have developed a new approach using machine learning to study with unprecedented resolution the phase behaviors of superionic water found in ice giants Uranus and Neptune.

Come on in, the water is superionic

Come on in, the water is superionic

The interiors of Uranus and Neptune each contain about 50,000 times the amount of water in Earth’s oceans, and a form of water known as superionic water is…

www.llnl.gov

Superionic water is a phase of H2O where hydrogen atoms become liquid-like while oxygen atoms remain solid-like on a crystalline lattice. Although superionic water was proposed over three decades ago, its optical properties and oxygen lattices were only accurately measured recently in experiments by LLNL’s Marius Millot and Federica Coppari, and many properties of this hot “black ice” are still uncharted.

News Release - LLNL establishes AI Innovation Incubator to advance artificial intelligence for applied science

Dec. 20, 2021

Lawrence Livermore National Laboratory’s AI Innovation Incubator (AI3) will serve as the foundation for a cohesive view of AI for Applied Science, built upon LLNL’s “cognitive simulation” approach that combines state-of-the-art AI technologies with leading-edge high performance computing. The hub is intended to stimulate new partnerships and enable LLNL, industry and academia to apply revolutionary AI methods.

LLNL establishes AI Innovation Incubator to advance artificial intelligence for applied science

Jeremy Thomas, [email protected], 925-422-5539

Lawrence Livermore National Laboratory (LLNL) has established the AI Innovation Incubator (AI3), a collaborative hub aimed at uniting experts in artificial intelligence (AI) from LLNL, industry and academia to advance AI for large-scale scientific and commercial applications.

LLNL has entered into a new memoranda of understanding with Google

, IBM

and NVIDIA

, with plans to use the incubator to facilitate discussions and form future collaborations around hardware, software, tools and utilities to accelerate AI for applied science. In addition, several existing projects will fall under the AI3 umbrella, including continued work with Hewlett Packard Enterprise

(HPE) and Advanced Micro Devices Inc.

(AMD) to demonstrate the power of AI and high performance computing (HPC) on the future exascale system El Capitan. This project focuses on innovative, AI-driven cognitive simulation and design optimization methods at unprecedented scales to devise novel approaches to inertial confinement fusion (ICF) experiments at the National Ignition Facility.

Other ongoing projects with AI accelerator/computing companies SambaNova Systems

and Cerebras Systems

and precision motion company Aerotech, Inc.

will be further developed through AI3. More companies, universities and leaders in the AI space are encouraged to consider joining AI3, where early research areas are expected to include advanced material design, 3D printing, predictive biology, energy systems, “self-driving” lasers and fusion energy research.

“We want this Incubator to be a place where industry, academia and the Lab can come together, nurture ideas, grow projects and develop a common vision,” said Brian Spears, AI3 director and LLNL physicist. “This is about bringing smart people with a diverse set of views together to work on meaningful problems in ways nobody else can. AI is such a quickly evolving field that having these hubs as a vehicle to quickly plant the most important, most exciting new ideas from outside the Lab to inside — and vice versa – is vitally important.”

AI3 will serve as the foundation for a cohesive view of AI for Applied Science, built upon LLNL’s cognitive simulation approach that combines state-of-the-art AI technologies with leading-edge HPC. The approach has sparked improvements in models for ICF, predictive biology, advanced manufacturing and other areas.

The Incubator will provide an infrastructure for the Lab’s AI activities, both internally and externally. Advancements made through AI3 will feed back into the national security enterprise and strengthen LLNL’s primary missions. The hub is intended to stimulate new partnerships and enable LLNL, industry and academia to apply revolutionary AI methods, hardware and software to significant scientific problems.

"We're excited to collaborate on this technical research with responsible innovation top of mind," said Rif A. Saurous, research director at Google Research. "We're going to bring Google's deep expertise in machine learning and high performance computing to help accelerate scientific progress."

“IBM is pleased to participate with LLNL in AI3,” said IBM Future of Computing Systems Director James Sexton. “The integration of AI with traditional high performance computing and data analysis methods that is the focus of AI3 will generate fundamentally new and transformative knowledge based computing capabilities for analysis, reasoning and decision making.”

“Today’s greatest scientific challenges require a new approach – one that combines the latest advances in AI with traditional scientific computing methods,” said NVIDIA Senior Director of Accelerating Computing Paresh Kharya. “NVIDIA looks forward to collaborating with the Lawrence Livermore National Laboratory and fellow AI3 members to accelerate scientific research that can have a tremendous impact on our lives today and in the years to come.”

LLNL anticipates projects developed through AI3 to include advanced AI and statistical tools to improve predictive models for various scientific applications; applying molecular design methods used in drug discovery to the development of new classes of materials; coupling computational hardware with simulation to enable self-driving scientific facilities capable of making autonomous experimental decisions; and pursuing advanced AI methods for building detailed computer models of 3D printing and advanced manufacturing processes.

Through existing and future projects, LLNL and AI3 members also plan to develop and democratize large datasets to share with the broader scientific community and to create open benchmarks to run on some of the world’s fastest supercomputers, testing the limits and potential of AI at the largest scale of science and technology.

The AI3 leadership team will be responsible for establishing and executing the Incubator’s strategic direction, soliciting and selecting collaborative projects and building external partnerships. The multi-disciplinary team currently consists of AI leaders from across the Laboratory including Spears, LLNL’s Deputy Associate Director of Computing Jim Brase, Informatics Group Leader Brian Van Essen, Group Leader Michael Schneider and Michael Goldman, director of LLNL’s Data Science Institute (DSI). The Incubator will grow, diversify and strengthen its leadership team in the coming months to ensure all levels of perspectives and equities are captured and represented.

Over the next three years, AI3 leadership intends to expand existing collaborations and form new ones, publish AI for applied science datasets and benchmarks and spin-out projects from the Incubator to benefit Lab programmatic areas, the scientific community and the world. To help achieve these goals, AI3 will partner closely with DSI to cross-leverage their respective activities and form a synergistic union to help drive LLNL’s strategic AI vision forward.

AI3 also will propel DSI by providing unique opportunities to align its education, community outreach, and workforce pipeline activities. Likewise, these DSI activities will provide the foundation necessary to promote the visibility and available opportunities of AI3, as well as support selected collaboration hub projects and partnerships.

For more on the AI Innovation Incubator, visit the web.